code: def reset(self):
      self.n = torch.ones(4, 4)
      self.n[0][0] = 4.0
      self.n[3][1] = 0.5
      self.n[1][2] = 0.25
      return {"n": self.n}
  
file_path: moolib/test/unit/test_envpool.py
imports: import random
  import pytest
  import torch
  import moolib
label_desc: Use image node_id 3 for calling the Env obj's underlying member method code with example usage: obj.reset() and returns: dict